Krishna Kishore Reddy
Senior DevOps Engineer with 6+ years of experience in designing scalable infrastructure, Kubernetes, Docker, and cloud automation solutions.
Senior DevOps Engineer at Trintech
• Designed and built the Openshift Cluster from scratch, reducing deployment time from one week to 45 minutesby automating processes using Ansible, Azure Pipelines, and Shell Scripts.
• Developed an internal Certificate Manager, eliminating the need for external certificates for internal use,resulting in cost savings for the organization.
• Deployed the Certificate Manager in an OpenShift cluster, automating certificate rotation for OpenShift,ingress, and routes.
• Migrated the Windows DNS server to a Linux-based DNS server and implemented Dynamic DNS (DDNS) toautomate record management. This reduced deployment time from 3 hours to 5 minutes and eliminatedmanual record additions through Shell Script automation.
• Built a Python API-based application for automated alert creation in Grafana when a new prometheus datsource added to it.
• Deployed the Large Language Model (LLM) in the OpenShift cluster, enabling the use of LLMs for variousapplications.
• Executed container-based infrastructure, reducing costs by 30% through optimized resource allocationusing Kubernetes and Docker.
• Developed an internal Certificate Manager, eliminating the need for external certificates for internal use,resulting in cost savings for the organization.
• Deployed the Certificate Manager in an OpenShift cluster, automating certificate rotation for OpenShift,ingress, and routes.
• Migrated the Windows DNS server to a Linux-based DNS server and implemented Dynamic DNS (DDNS) toautomate record management. This reduced deployment time from 3 hours to 5 minutes and eliminatedmanual record additions through Shell Script automation.
• Built a Python API-based application for automated alert creation in Grafana when a new prometheus datsource added to it.
• Deployed the Large Language Model (LLM) in the OpenShift cluster, enabling the use of LLMs for variousapplications.
• Executed container-based infrastructure, reducing costs by 30% through optimized resource allocationusing Kubernetes and Docker.
2023 - Present
Kubernetes
Azure
OpenShift
Ansible
Shell Scripting
Python
Grafana
Prometheus
Docker
Azure Pipelines
Git
Senior DevOps Engineer at Trintech
• Designed and built the Openshift Cluster from scratch, reducing deployment time from one week to 45 minutesby automating processes using Ansible, Azure Pipelines, and Shell Scripts.
• Developed an internal Certificate Manager, eliminating the need for external certificates for internal use,resulting in cost savings for the organization.
• Deployed the Certificate Manager in an OpenShift cluster, automating certificate rotation for OpenShift,ingress, and routes.
• Migrated the Windows DNS server to a Linux-based DNS server and implemented Dynamic DNS (DDNS) toautomate record management. This reduced deployment time from 3 hours to 5 minutes and eliminatedmanual record additions through Shell Script automation.
• Built a Python API-based application for automated alert creation in Grafana when a new prometheus datsource added to it.
• Deployed the Large Language Model (LLM) in the OpenShift cluster, enabling the use of LLMs for variousapplications.
• Executed container-based infrastructure, reducing costs by 30% through optimized resource allocationusing Kubernetes and Docker.
• Developed an internal Certificate Manager, eliminating the need for external certificates for internal use,resulting in cost savings for the organization.
• Deployed the Certificate Manager in an OpenShift cluster, automating certificate rotation for OpenShift,ingress, and routes.
• Migrated the Windows DNS server to a Linux-based DNS server and implemented Dynamic DNS (DDNS) toautomate record management. This reduced deployment time from 3 hours to 5 minutes and eliminatedmanual record additions through Shell Script automation.
• Built a Python API-based application for automated alert creation in Grafana when a new prometheus datsource added to it.
• Deployed the Large Language Model (LLM) in the OpenShift cluster, enabling the use of LLMs for variousapplications.
• Executed container-based infrastructure, reducing costs by 30% through optimized resource allocationusing Kubernetes and Docker.
2023 - Present
Kubernetes
Azure
OpenShift
Ansible
Shell Scripting
Python
Grafana
Prometheus
Docker
Azure Pipelines
Git
Senior DevOps Engineer at Salesforce
• Designed and built the Openshift Cluster from scratch, reducing deployment time from one week to 45 minutesby automating processes using Ansible, Azure Pipelines, and Shell Scripts.
• Developed an internal Certificate Manager, eliminating the need for external certificates for internal use,resulting in cost savings for the organization.
• Deployed the Certificate Manager in an OpenShift cluster, automating certificate rotation for OpenShift,ingress, and routes.
• Migrated the Windows DNS server to a Linux-based DNS server and implemented Dynamic DNS (DDNS) toautomate record management. This reduced deployment time from 3 hours to 5 minutes and eliminatedmanual record additions through Shell Script automation.
• Built a Python API-based application for automated alert creation in Grafana when a new prometheus datsource added to it.
• Deployed the Large Language Model (LLM) in the OpenShift cluster, enabling the use of LLMs for variousapplications.
• Executed container-based infrastructure, reducing costs by 30% through optimized resource allocationusing Kubernetes and Docker.
• Developed an internal Certificate Manager, eliminating the need for external certificates for internal use,resulting in cost savings for the organization.
• Deployed the Certificate Manager in an OpenShift cluster, automating certificate rotation for OpenShift,ingress, and routes.
• Migrated the Windows DNS server to a Linux-based DNS server and implemented Dynamic DNS (DDNS) toautomate record management. This reduced deployment time from 3 hours to 5 minutes and eliminatedmanual record additions through Shell Script automation.
• Built a Python API-based application for automated alert creation in Grafana when a new prometheus datsource added to it.
• Deployed the Large Language Model (LLM) in the OpenShift cluster, enabling the use of LLMs for variousapplications.
• Executed container-based infrastructure, reducing costs by 30% through optimized resource allocationusing Kubernetes and Docker.
2023 - Present
Kubernetes
Azure
OpenShift
Ansible
Shell Scripting
Python
Grafana
Prometheus
Docker
Azure Pipelines
Git